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An Analysis of Driver Perception of Nighttime Visibility Using Fuzzy Set Theory
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 Title & Authors
An Analysis of Driver Perception of Nighttime Visibility Using Fuzzy Set Theory
LEE, Dong Min; Youn, Chun Joo; KIM, Young Beom;
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PURPOSES: Nighttime driving is very different from daytime driving because drivers must obtain nighttime sight-distances based on road lights and headlights. Unfortunately, nighttime driving conditions in Korea are far from ideal due to poor lighting and an insufficient number of road lights and inadequate operation and maintenance of delineators. This study is conducted to develop new standards for nighttime road visibility based on experiments of driver perception for nighttime visibility conditions. METHODS : In the study, perception level and satisfaction of nighttime visibility were investigated. A total of 60 drivers participated, including 34 older drivers and 31 young drivers. To evaluate driver perceptions of nighttime road visibility, fuzzy set theory was used because the conventional analysis methods for driver perception are limited in effectiveness for considering the characteristics of perception which are subjective and vague, and are generally expressed in terms of linguistic terminologies rather than numerical parameters. RESULTS : This study found that levels of nighttime visibility, as perceived by drivers, are remarkably similar to their satisfactions in different nighttime driving conditions with a log-function relationship. Older drivers evaluated unambiguously degree of nighttime visibility but evaluations by young drivers regarding it were unclear. CONCLUSIONS : A minimum value of brightness on roads was established as YUX 30, based on final analyzed results. In other words, road lights should be installed and operated to obtain more than YUX 30 brightness for the safety and comfort of nighttime driving.
Nighttime Visibility;Fuzzy Set Theory;Driver Perception;Road Light;Driver Satisfaction;
 Cited by
CIE, Lighting of Roads for Motor and Pedestrian Traffic(115), 2010.

CIE, Guide for the Lighting of Road Tunnels and Underpasses, Publication No. 88-1990(ISBN 3900734259), 2010.

Ekrias, Aleksanteri et al., Effects of Vehicle Headlights on Target Contrast in Road Lighting Environments, Journal of Light & Visual Environment, vol. 32, Issue 3, p.302.

EN, Road Lighting(13201), 2004.

Fang, F.C., L. Elefteriadou, K.K. Pecheux, and M.T. Pietrucha, Using Fuzzy Clustering of User Perception to Define Levels of Service at Signalized Intersections, Journal of Transportation Engineering. Vol.129, Issue 6, 2003, pp657-663. crossref(new window)

Hamad, K. and S. Kikuchi, Developing a Measure of Traffic Congestion: Fuzzy Inference Approach. Transportation Research Record 1802, TRB, Washington, D.C., 2002.

Ismail Serkan Uncu and M Kayakus., Investigation of the Effects of Road Conditions on Road Lighting and Visibility Level, 2014 International Conference on Electrical and Electronics Engineering, 2014.

Japan Highway Association, Street Lighting Standards, 2008 (일본도로협회, 도로조명시설 설치기준, 2008).

Jeong, J. and Lee, S. et al., Effectiveness of Road Lighting on Driver' Vision, International Journal of Highway Engineering. Vol.14, Issue 4, 2012, pp125-131. crossref(new window)

Korea Industrial Standards, Street Lighting Standards, 2007 (한국산업규격, 도로 조명기준(KS A 3701), 2007).

Lee, D., A Generalized Approach for Analyzing Transportation User Perception Using Fuzzy Sets, Ph.D. Dissertation, The Pennsylvania State University, 2006.

Lee, D. and E.T. Donnell, Analysis of Pavement Marking Effects on Nighttime Driver Behavior Using Fuzzy Inference System, Journal of Computing in Civil Engineering, American Society of Civil Engineers, Vol. 21 No. 3, 2007.

Lee, D., K. Tae-Gyu and M. T. Pietrucha, Incorporation of Transportation User Perception into the Evaluation of Service Quality of Signalized Intersections Using Fuzzy Aggregation, Preceeding of the 86th Annual Meeting of TRB, Washington D.C., 2007.

Lee, D., M. T. Pietrucha, and E. T. Donnell, Hierarchical Fuzzy Inference System to Evaluate Experts'Opinions of Median Safety, Transportation Research Record 1961, TRB Washington D.C., 2006.

Lee, D., M. T. Pietrucha, and S.Sinha. Use of Fuzzy Sets to Evaluate Driver Perception of Variable Message Signs, Transportation Research Record 1937, TRB Washington D.C., 2005.

Ministry of Land, Transport and Maritime Affairs, Highway Safety Facilities and Management Guidelines, 2012 (국토해양부, 도로안전시설 설치 및 관리지침, 2012).

Ndoh, N.N. and N.J. Ashford. Evaluation of Transportation Level of Service Using Fuzzy Sets. Transportation Research Record, 1461, TRB, Washington, D.C., 1994.

The Korea Expressway Corporation, Expressway Road Lighting Design Guideline, 2012 (한국도로공사, 고속도로 도로조명설계 가이드라인 연구(최종보고서), 2012년).

Woon, W., Road marking characteristics of night visibility, Ph.D. Dissertation, Yonsei university, 2007.